Application of fuzzy logic in cognitive radio networks

Cognitive Radio Network as an emerging technology in the area of communication mainly seek improvement of network quality of services by providing capabilities that did not exist in earlier designs of computer communication.. CR networks, with the capability of using AI techniques, will provide an u...

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Main Author:	Yadollahie Kakh, Hassan
Format:	Thesis
Published:	2010
Subjects:	QA75 Electronic computers Computer science
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id	my-utm-ep.19158
record_format	uketd_dc
spelling	my-utm-ep.191582017-06-20T02:21:34Z Application of fuzzy logic in cognitive radio networks 2010 Yadollahie Kakh, Hassan QA75 Electronic computers. Computer science Cognitive Radio Network as an emerging technology in the area of communication mainly seek improvement of network quality of services by providing capabilities that did not exist in earlier designs of computer communication.. CR networks, with the capability of using AI techniques, will provide an ultimate environment aware communication paradigm in network communications. In multi network available environments, it is {X)ssible to select network based on many attributes they promote. In order to have efficient communication, there should be ability of reflect users and different applications requirements from their networking, so that user engage itself in the process of selection of the network. Since user do not have enough information about technical consideration of network connection and also in order to deal with the concept of uncertainty, fuzzy logic scheme is a solut ion, which would let users reflect their expectations in terms of fuzzy rules and, in tum use that rules as a tool for multi objective decision support in the process of network selection. In this project new method called CR-FENS is proposed, that aims to best reflect the requirements of user in the process of network selection. At the same time algorithm let user nodes exchange their state information about available networks in the environment, helping new nodes to better decide with having more set of information available. This approach is evaluated and compared with an existing fuzzy network selection algorithm through the simulation and data analysis study. 2010 Thesis http://eprints.utm.my/id/eprint/19158/ http://libraryopac.utm.my/client/en_AU/main/search/results?qu=Application+of+fuzzy+logic+in+cognitive+radio+networks&te= masters Universiti Teknologi Malaysia, Faculty of Computer Science and Information System Faculty of Computer Science and Information System
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
topic	QA75 Electronic computers Computer science
spellingShingle	QA75 Electronic computers Computer science Yadollahie Kakh, Hassan Application of fuzzy logic in cognitive radio networks
description	Cognitive Radio Network as an emerging technology in the area of communication mainly seek improvement of network quality of services by providing capabilities that did not exist in earlier designs of computer communication.. CR networks, with the capability of using AI techniques, will provide an ultimate environment aware communication paradigm in network communications. In multi network available environments, it is {X)ssible to select network based on many attributes they promote. In order to have efficient communication, there should be ability of reflect users and different applications requirements from their networking, so that user engage itself in the process of selection of the network. Since user do not have enough information about technical consideration of network connection and also in order to deal with the concept of uncertainty, fuzzy logic scheme is a solut ion, which would let users reflect their expectations in terms of fuzzy rules and, in tum use that rules as a tool for multi objective decision support in the process of network selection. In this project new method called CR-FENS is proposed, that aims to best reflect the requirements of user in the process of network selection. At the same time algorithm let user nodes exchange their state information about available networks in the environment, helping new nodes to better decide with having more set of information available. This approach is evaluated and compared with an existing fuzzy network selection algorithm through the simulation and data analysis study.
format	Thesis
qualification_level	Master's degree
author	Yadollahie Kakh, Hassan
author_facet	Yadollahie Kakh, Hassan
author_sort	Yadollahie Kakh, Hassan
title	Application of fuzzy logic in cognitive radio networks
title_short	Application of fuzzy logic in cognitive radio networks
title_full	Application of fuzzy logic in cognitive radio networks
title_fullStr	Application of fuzzy logic in cognitive radio networks
title_full_unstemmed	Application of fuzzy logic in cognitive radio networks
title_sort	application of fuzzy logic in cognitive radio networks
granting_institution	Universiti Teknologi Malaysia, Faculty of Computer Science and Information System
granting_department	Faculty of Computer Science and Information System
publishDate	2010
_version_	1747815395551608832

Application of fuzzy logic in cognitive radio networks

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